Data clustering is a type of unsupervised machine learning that organizes data into meaningful clusters or groups. It uses various algorithms to group data points together based on certain features or characteristics, such as distance, similarity, and density. The goal is to identify patterns and create insights that can be used to make better decisions and improve predictive models.